Second International Workshop on Symbolic-Neural Learning (SNL-2018)

Keynote Speakers:

Hang Li	Toutiao	Neural Symbolic Programming - A New Frontier of Artificial Intelligence
David McAllester	Toyota Technological Institute at Chicago	Universality in Deep Learning and Models of Computation
Tetsuya Ogata	Waseda University & AIST	Dynamical Integration of Language and Robot Actions by Deep Learning
Paul Smolensky	Microsoft Research AI & Johns Hopkins University	Vertical Integration of Neural and Symbolic Computation: Theory and Application
Naonori Ueda	NTT & RIKEN	Simulation Based Machine Learning

Invited Speakers:

Yuki Arase	Osaka University	Monolingual Phrase Alignment for Paraphrase Detection
Asako Kanezaki	AIRC/AIST	Learning-based Visual Perception for Robot Navigation
Hayato Kobayashi	Yahoo Japan Corporation & RIKEN	Application of Neural Summarization in Yahoo! JAPAN
Karen Livescu	Toyota Technological Institute at Chicago	Acoustic Word Embeddings
Michael Maire	Toyota Technological Institute at Chicago	Regularizing Deep Networks by Modeling and Predicting Label Structure
Makoto Miwa	Toyota Technological Institute	Neural Methods for Semantic Relation Extraction from Texts and Databases
Daichi Mochihashi	The Institute of Statistical Mathematics	The Infinite Tree Hidden Markov Model
Naoaki Okazaki	Tokyo Institute of Technology	Bridging Knowledge and Text with Deep Neural Networks
Greg Shakhnarovich	Toyota Technological Institute at Chicago	Discriminability Loss for Learning to Generate Descriptive Image Captions
Hiroya Takamura	AIRC/AIST	Describing Data with Text
Kazuyoshi Yoshii	Kyoto University & RIKEN	A New Approach to Deep Bayesian Learning for Audio, Speech, and Music Signal Analysis